全球统一 LLM API
交易平台

import openai

client = openai.OpenAI(
    api_key="sk-termiio-xxxxxxxx",
    base_url="https://api.termiio.dev/v1"
)

# 随时切换模型，无需修改其他代码
response = client.chat.completions.create(
    model="gpt-4o",  # 或 claude-sonnet-4, deepseek-v3...
    messages=[
        {"role": "system", "content": "你是一个有帮助的助手"},
        {"role": "user", "content": "用 Python 写一个快速排序"}
    ],
    stream=True
)

for chunk in response:
    print(chunk.choices[0].delta.content, end="")

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "sk-termiio-xxxxxxxx",
  baseURL: "https://api.termiio.dev/v1",
});

const stream = await client.chat.completions.create({
  model: "claude-sonnet-4",
  messages: [
    { role: "user", content: "用 TypeScript 实现一个 LRU Cache" }
  ],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || "");
}

# 标准 OpenAI 兼容格式
curl https://api.termiio.dev/v1/chat/completions \
  -H "Authorization: Bearer sk-termiio-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v3",
    "messages": [
      {"role": "user", "content": "解释一下 Transformer 架构"}
    ],
    "stream": true
  }'

package main

import (
    "context"
    "fmt"
    openai "github.com/sashabaranov/go-openai"
)

func main() {
    config := openai.DefaultConfig("sk-termiio-xxxxxxxx")
    config.BaseURL = "https://api.termiio.dev/v1"
    client := openai.NewClientWithConfig(config)

    resp, _ := client.CreateChatCompletion(
        context.Background(),
        openai.ChatCompletionRequest{
            Model: "gemini-2.5-pro",
            Messages: []openai.ChatCompletionMessage{
                {Role: "user", Content: "你好"},
            },
        },
    )
    fmt.Println(resp.Choices[0].Message.Content)
}